- Published extensively in top-tier conferences (e.g., VLDB, SIGMOD, ICDE, NeurIPS, WWW, AAAI, IJCAI) and journals (e.g., TODS, VLDBJ, TKDE)
- One of the Best Papers in SIGMOD 2020
- 2021 ACM SIGMOD Research Highlight Award
- 2025 CUHK-Shenzhen Teaching Achievement Award (Excellent Prize)
- Editorial Board Member of the journal Information Processing & Management (IPM, IF: 6.9)
- PC co-chair of LLM+Graph@VLDB2025 workshop
- Served on the program committees for several top conferences (e.g., VLDB, ICDE, KDD, WWW, AAAI, IJCAI)
- Invited reviewer for top journals (e.g., TKDE and VLDBJ)
Research Experience
- Currently an Associate Professor at the School of Data Science and School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen
- Former Research Associate at the School of Computer Science and Engineering, UNSW
- Current research topics include community search, densest subgraph discovery, path/connectivity computation, LLM + Graph, etc.
Education
- Ph.D. from the Department of Computer Science, The University of Hong Kong (HKU) in 2017, advised by Prof. Reynold Cheng
- Research Associate at the School of Computer Science and Engineering, UNSW during 2018-2020, working with Prof. Xuemin Lin
- Visiting Scholar at Nanyang Technological University in 2016, working with Prof. Gao Cong
Background
- Research Interests: Data management, data mining, and artificial intelligence over big data, particularly big graph data
- Professional Field: Database, data mining, artificial intelligence
- Biography: Associate Professor at the School of Data Science and School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen; Director of M.Sc. in Computer Science Programme and MPhil-PhD in Artificial Intelligence Programme
Miscellany
- Email: fangyixianghku at gmail.com (preferred)
- Office Address: Room 521a, Dao Yuan Building, CUHK-Shenzhen, 2001 Longxiang Boulevard, Longgang District, Shenzhen, China